A5083628093- Urban Heat Island Mitigation
- Meteorological Phenomena and Simulations
- Urban Green Space and Health
- Impact of Light on Environment and Health
- Photovoltaic System Optimization Techniques
- Land Use and Ecosystem Services
- Atmospheric and Environmental Gas Dynamics
- Climate Change and Health Impacts
- Air Quality and Health Impacts
- Solar Radiation and Photovoltaics
- Atmospheric chemistry and aerosols
- Energy and Environment Impacts
- Tropical and Extratropical Cyclones Research
- solar cell performance optimization
- Climate variability and models
- Remote Sensing and Land Use
- Silicon and Solar Cell Technologies
- COVID-19 impact on air quality
- Air Quality Monitoring and Forecasting
- Building Energy and Comfort Optimization
- Wind and Air Flow Studies
- Photovoltaic Systems and Sustainability
- Belt Conveyor Systems Engineering
- Physical Unclonable Functions (PUFs) and Hardware Security
- Solar Thermal and Photovoltaic Systems
National Institute of Advanced Studies
2021-2024
The University of Texas at Austin
2022-2024
Research Triangle Park Foundation
2024
Environmental Protection Agency
2024
Indian Institute of Science Bangalore
2018-2020
KLS Gogte Institute of Technology
2016
Latino, Black, and economically disadvantaged individuals in the U.S. have been shown to disproportionately live areas characterized by urban heat islands, yet little qualitative data exist inform adaptation. In a low-income community of color, we explored residents' heat-related health well-being outcomes, vulnerability, recommended adaptation strategies. From July–September 2021, conducted interviews with 18 adults (female = 17, Latino 16, Black 2) an area high island intensity Austin,...
We introduce University of Texas - GLObal Building heights for Urban Studies (UT-GLOBUS), a dataset providing building and urban canopy parameters (UCPs) more than 1200 city or locales worldwide. UT-GLOBUS combines open-source spaceborne altimetry (ICESat-2 GEDI) coarse-resolution elevation data with machine-learning model to estimate building-level information. Validation using LiDAR from six U.S. cities showed UT-GLOBUS-derived had root mean squared error (RMSE) 9.1 meters. within 1-km2...
Hurricane track forecasting remains a significant challenge due to the complex interactions between atmosphere, land, and ocean. Although AI-based numerical weather prediction models, such as Google Graphcast operation, have significantly improved hurricane forecasts, they currently function atmosphere-only omitting critical land ocean interactions. To investigate impact of feedback, we conducted independent simulations using physics-based WRF experimental model assess how soil moisture...
Abstract India has aggressive plans for scaling up photovoltaic installations in the coming decades. Currently fixed tilt, flat plate crystalline silicon (c‐Si) technology sets standard cost and performance is both robust relatively easy to deploy. Concentrator photovoltaics (CPV) systems have a different structure; using solar cells with highest efficiencies, system efficiencies greater than 30% are possible, but also more sensitive meteorological conditions. complex varied atmosphere that...
Concentrator Photovoltaic (CPV) systems use high efficiency multi-junction solar cells with efficiencies >40%, but the module is often much lower. The increased complexity of a CPV module, optics, receiver and tracker gives an probability that faults will arise during operational lifetime. In addition, location like India has varied atmospheric conditions further complicates diagnosis faults. It therefore important to decouple effects due external environment (such as atmosphere) from...
We introduce University of Texas - Global Building heights for Urban Studies (UT-GLOBUS), a dataset providing building and urban canopy parameters (UCPs) more than 1200 cities or locales worldwide. UT-GLOBUS combines open-source spaceborne altimetry (ICESat-2 GEDI) coarse-resolution elevation data with machine-learning model to estimate building-level information. Validation using LiDAR from six US showed UT-GLOBUS-derived had root mean squared error (RMSE) 9.1 meters. within 1-km^2 grid...
Accurate fog prediction in densely urbanized cities poses a challenge due to the complex influence of urban morphology on meteorological conditions roughness sublayer. This study implemented coupled WRF-Urban Asymmetric Convective Model (WRF-UACM) for Delhi, India, integrating explicit physics with Sentinel-updated USGS land-use and morphological parameters derived from UT-GLOBUS dataset. When evaluated against baseline (WRF-BACM) using Winter Fog Experiment (WiFEX) data, WRF-UACM...
Accurate fog prediction in densely urbanized cities poses a challenge due to the complex influence of urban morphology on meteorological conditions roughness sublayer. This study implemented coupled WRF-Urban Asymmetric Convective Model (WRF-UACM) for Delhi, India, integrating explicit physics with Sentinel-updated USGS land-use and morphological parameters derived from UT-GLOBUS dataset. When evaluated against baseline (WRF-BACM) using Winter Fog Experiment (WiFEX) data, WRF-UACM...
Abstract Accurate fog prediction in densely urbanized cities poses a challenge due to the complex influence of urban morphology on meteorological conditions roughness sublayer. This study implemented coupled WRF‐Urban Asymmetric Convective Model (WRF‐UACM) for Delhi, India, integrating explicit physics with Sentinel‐updated USGS land‐use and morphological parameters derived from UT‐GLOBUS dataset. When evaluated against baseline (WRF‐BACM) using Winter Fog Experiment (WiFEX) data, WRF‐UACM...
This study presents an innovative approach to creating a dynamic, AI based emission inventory system for use with the Weather Research and Forecasting model coupled Chemistry (WRF Chem), designed simulate vehicular other anthropogenic emissions at satellite detectable resolution. The methodology leverages state of art deep learning computer vision models, primarily employing YOLO (You Only Look Once) architectures (v8 v10) T Rex, high precision object detection. Through extensive data...
In unauthorized areas, providing access to only authorized persons is a problem. The keyless entry eliminates the problems associated with key duplication and break-ins but such system has be impeccable. Since security works on batteries when operated as stand-alone system, low power design very much desired. our approach, depending states of RFID PIR sensor outputs, given persons, whose tag data matches that program memory FPGA. Further, saving achieved in place route phase. Here, we make...
Keeping continuous, long-term data to examine changes in urban surroundings is crucial as cities expand and develop. The DMSP OLS nighttime lights the Landsat NDVI were used create Normalized Difference Urbanization Index (NDUI), which has proven be an invaluable resource for studying areas. However, DMSP's reach usefulness are constrained by fact that collecting ended 2014 while VIIRS continued collect since 2012. unavailability of translates a challenge performing studies using NDUI. In...
<p>The upper Hunter Valley region in New South Wales (NSW), Australia has several open-cast coal mines, which supply to two large thermal power plants (TPPs) the area, beside export market. Long-term Particulate Matter (PM) pollutants and meteorological measurements are recorded by a network of 13 NSW government-owned continuous monitoring stations region. The Ramagundam area state Telangana, India similar pollution source characteristics (coal mines TPPs), but PM pollutant...